Road User Position and Speed Estimation via Deep Learning from Calibrated Fisheye Videos

Road User Position and Speed Estimation via Deep Learning from Calibrated Fisheye Videos

In this paper, we present a deep learning processing flow aimed at Advanced Driving Assistance Systems (ADASs) for urban road users. We use a fine analysis of the optical setup of a fisheye camera and present a detailed procedure to obtain Global Navigation Satellite System (GNSS) coordinates along...

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Autori principali: Yves Berviller, Masoomeh Shireen Ansarnia, Etienne Tisserand, Patrick Schweitzer, Alain Tremeau
Natura: Articolo
Lingua:English
Pubblicazione: MDPI AG 2023-02-01
Serie:Sensors
Soggetti:
ADAS
I2V
deep learning
camera to world transform
real time
Accesso online:https://www.mdpi.com/1424-8220/23/5/2637

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https://www.mdpi.com/1424-8220/23/5/2637

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